MR.Dosis

MR.Dosis — CS2 Stats

NO76561198929234284[U:1:968968556]Steam profile ↗✓ No bans

1,356Tracked matches48%Win rate2020Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
CSDB Leaderboard#64358 of 247497 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,159 +6,150 15 Nov – 15 May · 13 days played
13,98021,159peak 21,15915 Nov15 May
21,159Peak Premier in tracked matches
23Days played since 2025-11-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGMR.DosisFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning60
Utility60

0–100 skill scores via Leetify.

Recent form

COLD47–48–5Last 10047%Win rateLTWLLLWTTL

Last 10 vs previous 10: −30pp win rate · +0.03 avg rating · +0.8pp headshot accuracy · +21ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 626ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 585ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.9
Utility6.0
Positioning6.0
Opening Duels4.5
Clutch6.0

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.9
Positioning6.0
Utility6.0
Mechanics4.1
Opening Duels3.5
Win Impact4.4

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time632ms−55ms
first ⅓ avg 686ms → last ⅓ avg 632ms
Headshot accuracy18.2%−0.0%
first ⅓ avg 18.2% → last ⅓ avg 18.2%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.18Best match rating · 15–15 · dust2, 24 Aug →
46%Best headshot accuracy · 8–13 · mirage, 26 Nov →
422msFastest reaction time · 6–13 · inferno, 15 Aug →
13–3Biggest win · mirage, 4 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–9In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 50% over 26ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%-0.02
dust2C2410–1442%-0.02
infernoC146–843%-0.03
nukeB147–750%-0.04
ancientC104–640%-0.01
overpass—42–250%-0.03
cache—21–150%-0.03
tuscan_d—10–10%-0.00
aztec—11–0100%0.12
prodigy_ported—11–0100%0.05
mirror_de_mirage—10–10%0.00
cache_b—11–0100%-0.01
train—11–0100%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

227Matches
44%Win rate
0.59Avg K/D
55.6ADR
38%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust2650%0.6612.2
Mirage683%0.8616.0
Ancient520%0.6811.6
Inferno425%0.549.3
Anubis450%0.7913.5
Nuke250%0.569.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.3%Headshot accuracy
35.7%Accuracy (enemy spotted)
35.6%Spray accuracy
68.6%Counter-strafing
9.9°Preaim
616msReaction time
47.1%T opening success
41.3%CT opening success
0.79Enemies flashed / flash
5.3%Flash assists
9.92HE damage / grenade
8.06Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0519%28 Aug →
inferno15–15-0.0411%28 Aug →
inferno13–100.0521%28 Aug →
ancient4–13-0.027%28 Aug →
mirage5–13-0.1219%28 Aug →
nuke9–13-0.0319%27 Aug →
nuke13–100.0324%24 Aug →
dust215–150.1825%24 Aug →
mirage15–150.0816%15 Aug →
ancient10–130.127%15 Aug →
nuke13–90.0216%15 Aug →
inferno6–130.0121%15 Aug →
cache13–80.0018%6 Aug →
mirage13–9-0.018%15 May →
inferno3–13-0.0815%15 May →
ancient10–13-0.0020%15 May →
mirage13–90.0316%15 May →
dust27–13-0.0112%15 May →
dust213–7-0.0115%15 May →
nuke5–13-0.0717%15 May →
dust211–13-0.0624%10 May →
dust213–10-0.0225%10 May →
mirage14–16-0.0422%10 May →
inferno13–9-0.0423%10 May →
nuke16–14-0.0724%10 May →
mirage7–13-0.0220%10 May →
dust213–6-0.0015%10 May →
inferno13–50.0716%10 May →
mirage6–13-0.0632%8 May →
mirage16–140.1017%8 May →
mirage3–13-0.0817%2 May →
tuscan_d8–13-0.0013%2 Apr →
aztec13–70.1227%2 Apr →
prodigy_ported16–120.0513%2 Apr →
mirror_de_mirage7–130.0036%2 Apr →
cache_b13–7-0.0124%2 Apr →
mirage10–13-0.0529%2 Apr →
ancient10–13-0.0418%30 Mar →
dust213–7-0.0320%30 Mar →
dust213–8-0.0826%30 Mar →
overpass13–6-0.0426%30 Mar →
nuke2–13-0.075%13 Jan →
dust213–110.0214%13 Jan →
mirage13–11-0.0317%13 Jan →
inferno4–13-0.0730%10 Dec →
mirage16–14-0.0121%10 Dec →
inferno7–13-0.0919%10 Dec →
ancient13–7-0.0212%10 Dec →
dust216–13-0.0432%10 Dec →
dust215–150.0416%9 Dec →
dust214–16-0.0411%9 Dec →
overpass13–11-0.0413%9 Dec →
inferno10–13-0.0515%9 Dec →
dust213–10-0.0518%9 Dec →
ancient3–13-0.069%9 Dec →
mirage7–130.0219%9 Dec →
mirage13–7-0.0613%7 Dec →
nuke13–8-0.0311%7 Dec →
mirage13–70.0214%7 Dec →
ancient16–120.0521%7 Dec →
dust211–130.0430%7 Dec →
train13–10-0.0522%4 Dec →
mirage13–30.036%4 Dec →
dust27–13-0.0114%4 Dec →
dust28–13-0.0420%1 Dec →
inferno13–100.0222%1 Dec →
nuke15–15-0.0221%1 Dec →
overpass7–130.0120%29 Nov →
mirage4–13-0.0613%29 Nov →
inferno7–13-0.0813%29 Nov →
mirage11–13-0.0126%29 Nov →
inferno3–13-0.0620%29 Nov →
nuke11–13-0.0529%29 Nov →
mirage6–13-0.1214%29 Nov →
dust27–13-0.0512%26 Nov →
nuke13–5-0.0310%26 Nov →
dust212–16-0.0519%26 Nov →
dust213–9-0.0317%26 Nov →
inferno13–5-0.094%26 Nov →
ancient13–70.0116%26 Nov →
mirage8–13-0.0546%26 Nov →
inferno13–3-0.0323%26 Nov →
nuke4–13-0.0719%26 Nov →
ancient13–4-0.068%21 Nov →
dust211–13-0.0314%21 Nov →
mirage13–50.0924%21 Nov →
dust211–13-0.0322%21 Nov →
nuke5–13-0.0321%21 Nov →
dust211–13-0.069%21 Nov →
nuke16–14-0.0815%18 Nov →
dust213–9-0.0220%18 Nov →
overpass6–13-0.0519%18 Nov →
mirage13–50.0236%18 Nov →
mirage13–5-0.048%16 Nov →
nuke13–50.0015%16 Nov →
dust212–16-0.0717%16 Nov →
ancient8–13-0.0816%16 Nov →
mirage13–10-0.0612%16 Nov →
mirage9–13-0.0523%15 Nov →
mirage13–4-0.0623%15 Nov →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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